Title: A hybrid encryption method handling big data vulnerabilities

Authors: G. Priyanka; Anisha M. Lal

Addresses: School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India ' School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

Abstract: As big data hits the maximum number of companies in all domains, secured data transfer can be done by cryptography. With increasing threats to big data, the security must focus on to avoid the attackers from the formation of any pattern to gain access to the information. Big data deals with the linguistic data which consists of low secured data and high secured data as well. Hence, the system should focus on providing multi-fold security and should avoid high-security common to all data categories. This paper presents a hybrid model for big data that ensures data confidentiality, data integrity, access control and sequential freshness by combining three symmetric key algorithms AES, DES and blowfish for the encryption and decryption process in any desired order. Based on the level of security the combination of the algorithms can vary. This method of encryption and decryption process ensures safe data transformation between source and destination.

Keywords: hybrid; encryption; big data; vulnerabilities; low-level security; medium-level security; high-level security; multi-fold method; algorithms; combinations.

DOI: 10.1504/IJCC.2019.103879

International Journal of Cloud Computing, 2019 Vol.8 No.3, pp.207 - 213

Received: 19 Jul 2018
Accepted: 14 Sep 2018
Published online: 02 Dec 2019 *

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